Single Image Dehazing
Raanan Fattal
In ACM Transactions on Graphics, 27(3), August 2008.
Abstract: In this paper we present a new method for estimating the optical transmission in hazy scenes given a single input image. Based on this estimation, the scattered light is eliminated to increase scene visibility and recover haze-free scene contrasts. In this new approach we formulate a refined image formation model that accounts for surface shading in addition to the transmission function. This allows us to resolve ambiguities in the data by searching for a solution in which the resulting shading and transmission functions are locally statistically uncorrelated. A similar principle is used to estimate the color of the haze. Results demonstrate the new method abilities to remove the haze layer as well as provide a reliable transmission estimate which can be used for additional applications such as image refocusing and novel view synthesis.
Keyword(s): Markov random field image modeling, computational photography, image dehazing/defogging, image enhancement, image restoration
@article{Fattal:2008:SID,
author = {Raanan Fattal},
title = {Single Image Dehazing},
journal = {ACM Transactions on Graphics},
volume = {27},
number = {3},
pages = {72:1--72:9},
month = aug,
year = {2008},
}
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